World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
77
Citations
33880
World Ranking
1239
National Ranking
656

Research.com Recognitions

  • 2012 - ACM Fellow For contributions to artificial intelligence with applications to automated reasoning and planning.
  • 2002 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2000 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For significant contributions to the field of knowledge representation and reasoning, and the development of widely used randomized methods in reasoning, search, and planning.
  • 1999 - Fellow of Alfred P. Sloan Foundation

Overview

Bart Selman is affiliated with Cornell University in the United States. Their research primarily focuses on the field of Computer Science, with particular attention to Artificial Intelligence, Statistical and Nonlinear Physics, Computational Theory and Mathematics, Computer Networks and Communications, and Software.

The main topics within their work include AI-based Problem Solving and Planning, Software Engineering Research, Bayesian Modeling and Causal Inference, Machine Learning and Algorithms, Constraint Satisfaction and Optimization, Model-Driven Software Engineering Techniques, and Scheduling and Optimization Algorithms.

Selman has frequently collaborated with a number of co-authors. Notable collaborators include Carla P. Gomes, Niko A. Grupen, Daniel D. Lee, Dieqiao Feng, and Henry Kautz.

They have published extensively, with a noticeable presence in venues such as arXiv (Cornell University) and the Proceedings of the AAAI Conference on Artificial Intelligence. Other publication venues include IEEE Transactions on Circuits and Systems I Regular Papers, Dagstuhl Research Online Publication Server, and AI Magazine.

Recent publications include:

  • "Cooperative Multi-Agent Fairness and Equivariant Policies" (2022) at Proceedings of the AAAI Conference on Artificial Intelligence
  • "From Streamlined Combinatorial Search to Efficient Constructive Procedures" (2021) at Proceedings of the AAAI Conference on Artificial Intelligence
  • "Solving Hard AI Planning Instances Using Curriculum-Driven Deep Reinforcement Learning" (2020) at arXiv (Cornell University)
  • "A Novel Automated Curriculum Strategy to Solve Hard Sokoban Planning Instances" (2021) at arXiv (Cornell University)
  • "Automating Crystal-Structure Phase Mapping: Combining Deep Learning with Constraint Reasoning" (2021) at arXiv (Cornell University)

Bart Selman has received several awards and honors, which include:

  • ACM Fellow (2012) for contributions to artificial intelligence with applications to automated reasoning and planning
  • Fellow of the American Association for the Advancement of Science (AAAS) (2002)
  • Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) (2000), recognized for significant contributions to knowledge representation and reasoning and for the development of widely used randomized methods in reasoning, search, and planning
  • Fellow of Alfred P. Sloan Foundation (1999)

Best Publications

  • Generating hard satisfiability problems

    Bart Selman;David G. Mitchell;Hector J. Levesque

  • A new method for solving hard satisfiability problems

    Bart Selman;Hector Levesque;David Mitchell

  • Referral Web: combining social networks and collaborative filtering

    Henry Kautz;Bart Selman;Mehul Shah

  • Planning as satisfiability

    Henry Kautz;Bart Selman

  • Hard and easy distributions of SAT problems

    David Mitchell;Bart Selman;Hector Levesque

  • Pushing the envelope: planning, propositional logic, and stochastic search

    Henry Kautz;Bart Selman

  • Noise strategies for improving local search

    Bart Selman;Henry A. Kautz;Brain Cohen

  • Determining computational complexity from characteristic 'phase transitions.'

    Rémi Monasson;Riccardo Zecchina;Scott Kirkpatrick;Bart Selman

  • Local search strategies for satisfiability testing

    Bart Selman;Henry A. Kautz;Bram Cohen

  • Boosting combinatorial search through randomization

    Carla P. Gomes;Bart Selman;Henry Kautz

  • Critical Behavior in the Satisfiability of Random Boolean Expressions

    Scott Kirkpatrick;Bart Selman

  • Unifying SAT-based and graph-based planning

    Henry Kautz;Bart Selman

  • Unstructured human activity detection from RGBD images

    Jaeyong Sung;Colin Ponce;Bart Selman;Ashutosh Saxena

  • Local Search Strategies for Satisfiability Testing

    Bart Selman;Bram Cohen;Henry Kautz

  • Algorithm portfolios

    Carla P. Gomes;Bart Selman

  • Heavy-Tailed Phenomena in Satisfiability and Constraint Satisfaction Problems

    Carla P. Gomes;Bart Selman;Nuno Crato;Henry Kautz

  • Evidence for invariants in local search

    David McAllester;Bart Selman;Henry Kautz

  • The Hidden Web

    Henry A. Kautz;Bart Selman;Mehul A. Shah

  • Domain-independent extensions to GSAT: solving large structured satisfiability problems

    Bart Selman;Henry Kautz

  • Proceedings of the 26th AAAI Conference on Artificial Intelligence (AAAI'12)

    Joerg Hoffmann;Bart Selman

  • Understanding Batch Normalization

    Johan Bjorck;Carla Gomes;Bart Selman;Kilian Q. Weinberger

Frequent Co-Authors

Carla P. Gomes
Carla P. Gomes Cornell University
Henry Kautz
Henry Kautz University of Virginia
Stefano Ermon
Stefano Ermon Stanford University
Ashish Sabharwal
Ashish Sabharwal Allen Institute for Artificial Intelligence
Eric Horvitz
Eric Horvitz Microsoft (United States)
Hector J. Levesque
Hector J. Levesque University of Toronto
Ashutosh Saxena
Ashutosh Saxena Cornell University
Jörg Hoffmann
Jörg Hoffmann Saarland University
David McAllester
David McAllester Toyota Technological Institute at Chicago
John M. Gregoire
John M. Gregoire California Institute of Technology

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